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Contrastive Deep Encoding Enables Uncertainty-aware
  Machine-learning-assisted Histopathology

Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology

13 September 2023
Nirhoshan Sivaroopan
Chamuditha Jayanga
Chalani Ekanayake
Hasindri Watawana
Jathurshan Pradeepkumar
Mithunjha Anandakumar
Ranga Rodrigo
Chamira U. S. Edussooriya
D. Wadduwage
    MedIm
    UQCV
ArXivPDFHTML

Papers citing "Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology"

4 / 4 papers shown
Title
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
302
7,434
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
303
5,773
0
29 Apr 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
261
9,134
0
06 Jun 2015
1